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ESSENWARE PRIVATE LIMITED


Location

Secunderabad | India


Job description

Greetings from Essenware!!!

Job Description

  • OB DESCRIPTION: ML / MLOps ENGINEERS + NLP ROLE- Qualifications and Skills: Bachelor and/or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on machine learning, deep learning, or NLP. Minimum 5-9 years of ML Engineering / Software engineering experience primarily related to productionizing ML models and scaling them in high throughput and low latency settings. Building end to end data systems as an ML Engineer, Platform Engineer, or equivalent. Understanding/familiarity with the iterative nature of the data science lifecycle Familiarity with common ML/DL methodologies and metrics Strong foundation in mathematics, statistics, and probability theory. Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar deep learning frameworks. Proficiency with model deployment, monitoring and MLOps. Proficiency with Microsoft Azure . Solid understanding of generative models such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and their variants. Experience in designing and training deep neural networks for image generation, text generation, or other generative tasks. Familiarity with computer vision techniques, image processing, and natural language processing (NLP) is a plus. Strong problem-solving and analytical skills, with the ability to think creatively and independently. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Strong attention to detail, with a focus on delivering high-quality and reliable code. Prior experience in research and development of generative AI models and published research papers is a plus. Excellent debugging and critical thinking skills. Excellent analytical and problem-solving skills. Ability to work in a fast paced, team-based environment. EARLY AND IMMEDIATE JOINERS WILL BE PREFERRED
  • Mandate skills- 8 to 10 years of overall IT experience with 4-5 years in DS.
  • Deep conceptual clarity in Machine Learning, Deep Learning
  • Some hands-On experience in LLM, BERT and Generative AI

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